Patrick Mannion
Titolo
Citata da
Citata da
Anno
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control
P Mannion, J Duggan, E Howley
Autonomic Road Transport Support Systems, 47-66, 2016
1362016
Deep Reinforcement Learning for Autonomous Driving: A Survey
BR Kiran, I Sobh, V Talpaert, P Mannion, A Al-Sallab, Yogamani, Senthil, ...
arXiv preprint arXiv:2002.00444, 2020
282020
Parallel Reinforcement Learning for Traffic Signal Control
P Mannion, J Duggan, E Howley
The 4th International Workshop on Agent-based Mobility, Traffic and…, 2015
282015
Dynamic Economic Emissions Dispatch Optimisation using Multi-Agent Reinforcement Learning
P Mannion, K Mason, S Devlin, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
232016
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning
P Mannion, K Mason, S Devlin, J Duggan, E Howley
Proceedings of the 15th International Conference on Autonomous Agents and…, 2016
222016
Applying Multi-Agent Reinforcement Learning to Watershed Management
K Mason, P Mannion, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
222016
Policy Invariance under Reward Transformations for Multi-Objective Reinforcement Learning
P Mannion, S Devlin, K Mason, J Duggan, E Howley
Neurocomputing 263, 60-73, 2017
212017
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
V Talpert, I Sobh, BR Kiran, P Mannion, S Yogamani, A El-Sallab, P Perez
International Conference on Computer Vision Theory and Applications (VISAPP), 2019
202019
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games
P Mannion, J Duggan, E Howley
Proceedings of the 16th International Conference on Autonomous Agents and…, 2017
112017
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning
P Mannion, S Devlin, J Duggan, E Howley
The Knowledge Engineering Review 33 (e23), 2018
102018
Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games
SS Mousavi, M Schukat, P Mannion, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2017), 2017
102017
Multi-objective multi-agent decision making: a utility-based analysis and survey
R Radulescu, P Mannion, DM Roijers, A Now
Autonomous Agents and Multi-Agent Systems 34 (10), 2020
92020
Generating Multi-Agent Potential Functions using Counterfactual Estimates
P Mannion, J Duggan, E Howley
Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016), 2016
72016
Equilibria in Multi-Objective Games: a Utility-Based Perspective
R Radulescu, P Mannion, DM Roijers, A Now
Adaptive and Learning Agents Workshop (at AAMAS 2019), 2019
62019
Parallel Learning using Heterogeneous Agents
P Mannion, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2015), 2015
52015
Learning Traffic Signal Control with Advice
P Mannion, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2015), 2015
52015
Pyritiferous mudstone–siltstone: expansion rate measurement and prediction
BA McCabe, P McKeon, RJ Virbukiene, PJ Mannion, AM O’Connell
Quarterly Journal of Engineering Geology and Hydrogeology 48 (1), 41-54, 2015
52015
Avoiding the Tragedy of the Commons using Reward Shaping
P Mannion, S Devlin, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
42016
Parallel Reinforcement Learning with State Action Space Partitioning
P Mannion, J Duggan, E Howley
12th European Workshop on Reinforcement Learning (at ICML 2015), 2015
42015
Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games
Y Zhang, R Radulescu, P Mannion, DM Roijers, A Now
Proceedings of the 19th International Conference on Autonomous Agents and…, 2020
32020
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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